Abdulla Alshamsi
User perception of Bitcoin usability and security across novice users
Alshamsi, Abdulla; Andras, Peter
Authors
Prof Peter Andras P.Andras@napier.ac.uk
Dean of School of Computing Engineering and the Built Environment
Abstract
This paper investigates users’ perceptions and experiences of an anonymous digital payment system (Bitcoin) and its influence on users in terms of usability and security in comparison to other non-anonymous payment systems such as credit/debit cards. This paper identifies users’ perceptual differences in terms of usability and security. Two versions of user survey are used to collect data, which reveal significant differences in users’ perceptions of credit/debit cards and Bitcoin. The usability attributes of both systems examined show that respondents perceive the usability of credit/debit cards to be higher than Bitcoin. This has a great negative influence on users’ security perceptions of Bitcoin. We conclude that Bitcoin, as a crypto-currency, is still in its infancy and requires user education and a new way of thinking. The study recommends developing users’ mental models to deepen developers’ understanding of anonymous digital payment technology and improve user-centred design. We also make recommendations with respect to e-government services that may be developed relying on crypto-currencies.
Citation
Alshamsi, A., & Andras, P. (2019). User perception of Bitcoin usability and security across novice users. International Journal of Human-Computer Studies, 126, 94-110. https://doi.org/10.1016/j.ijhcs.2019.02.004
Journal Article Type | Article |
---|---|
Acceptance Date | Feb 8, 2019 |
Online Publication Date | Feb 10, 2019 |
Publication Date | 2019 |
Deposit Date | Nov 2, 2021 |
Journal | International Journal of Human-Computer Studies |
Print ISSN | 1071-5819 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 126 |
Pages | 94-110 |
DOI | https://doi.org/10.1016/j.ijhcs.2019.02.004 |
Keywords | User perception, Bitcoin, Credit/debit card, Usability, Security, Trade-off |
Public URL | http://researchrepository.napier.ac.uk/Output/2808796 |
You might also like
A review of privacy-preserving federated learning for the Internet-of-Things
(2021)
Book Chapter
Amnesia: Neuropsychological Interpretation and Artificial Neural Network Simulation
(1998)
Journal Article
Neural activity pattern systems
(2004)
Journal Article
Scalability analysis comparisons of cloud-based software services
(2019)
Journal Article
Environmental adversity and uncertainty favour cooperation
(2007)
Journal Article
Downloadable Citations
About Edinburgh Napier Research Repository
Administrator e-mail: repository@napier.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search